/*
* @license Apache-2.0
*
* Copyright (c) 2024 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// TypeScript Version: 4.1
///
import { Layout, MatrixTriangle, TransposeOperation, DiagonalType } from '@stdlib/types/blas';
/**
* Interface describing `dtrsv`.
*/
interface Routine {
/**
* Solves one of the systems of equations `A*x = b` or `A^T*x = b` where `b` and `x` are `N` element vectors and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
*
* @param order - storage layout
* @param uplo - specifies whether `A` is an upper or lower triangular matrix
* @param trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed
* @param diag - specifies whether `A` has a unit diagonal
* @param N - number of elements along each dimension in the matrix `A`
* @param A - input matrix
* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
* @param x - input vector
* @param strideX - `x` stride length
* @returns `x`
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 0.0, 1.0, 2.0 ], [ 0.0, 0.0, 1.0 ] ]
* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
*
* dtrsv( 'row-major', 'upper', 'no-transpose', 'unit', 3, A, 3, x, 1 );
* // x => [ 0.0, -4.0, 3.0 ]
*/
( order: Layout, uplo: MatrixTriangle, trans: TransposeOperation, diag: DiagonalType, N: number, A: Float64Array, LDA: number, x: Float64Array, strideX: number ): Float64Array;
/**
* Solves one of the systems of equations `A*x = b` or `A^T*x = b`, using alternative indexing semantics and where `b` and `x` are `N` element vectors and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
*
* @param uplo - specifies whether `A` is an upper or lower triangular matrix
* @param trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed
* @param diag - specifies whether `A` has a unit diagonal
* @param N - number of elements along each dimension in the matrix `A`
* @param A - input matrix
* @param strideA1 - stride of the first dimension of `A`
* @param strideA2 - stride of the first dimension of `A`
* @param offsetA - starting index for `A`
* @param x - input vector
* @param strideX - `x` stride length
* @param offsetX - starting index for `x`
* @returns `x`
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 0.0, 1.0, 2.0 ], [ 0.0, 0.0, 1.0 ] ]
* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
*
* dtrsv.ndarray( 'row-major', 'upper', 'no-transpose', 'unit', 3, A, 3, 1, 0, x, 1, 0 );
* // x => [ 0.0, -4.0, 3.0 ]
*/
ndarray( uplo: MatrixTriangle, trans: TransposeOperation, diag: DiagonalType, N: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number, x: Float64Array, strideX: number, offsetX: number ): Float64Array;
}
/**
* Solves one of the systems of equations `A*x = b` or `A^T*x = b` where `b` and `x` are `N` element vectors and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
*
* @param order - storage layout
* @param uplo - specifies whether `A` is an upper or lower triangular matrix
* @param trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed
* @param diag - specifies whether `A` has a unit diagonal
* @param N - number of elements along each dimension in the matrix `A`
* @param A - input matrix
* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
* @param x - input vector
* @param strideX - `x` stride length
* @returns `x`
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var A = new Float64Array( [ 1.0, 0.0, 0.0, 2.0, 3.0, 0.0, 4.0, 5.0, 6.0 ] );
* var x = new Float64Array( [ 1.0, 1.0, 1.0 ] );
*
* dtrsv( 'row-major', 'lower', 'no-transpose', 'non-unit', 3, A, 3, x, 1 );
* // x => [ 1.0, ~-0.33, ~-0.22 ]
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var A = new Float64Array( [ 1.0, 0.0, 0.0, 2.0, 3.0, 0.0, 4.0, 5.0, 6.0 ] );
* var x = new Float64Array( [ 1.0, 1.0, 1.0 ] );
*
* dtrsv.ndarray( 'lower', 'no-transpose', 'non-unit', 3, A, 3, 1, 0, x, 1, 0 );
* // x => [ 1.0, ~-0.33, ~-0.22 ]
*/
declare var dtrsv: Routine;
// EXPORTS //
export = dtrsv;